Pandas Profiling Report

Dataset statistics

Number of variables	29
Number of observations	54
Missing cells	71
Missing cells (%)	4.5%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	12.4 KiB
Average record size in memory	234.4 B

Variable types

Numeric	9
Categorical	20

Alerts

`type` has constant value "regular"	Constant
`airdate` has constant value "2020-12-05"	Constant
`_embedded_show_dvdCountry` has constant value "nan"	Constant
`url` has a high cardinality: 54 distinct values	High cardinality
`name` has a high cardinality: 51 distinct values	High cardinality
`_links_self_href` has a high cardinality: 54 distinct values	High cardinality
`season` is highly correlated with `_embedded_show_updated`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_updated` is highly correlated with `season`	High correlation
`season` is highly correlated with `runtime` and 2 other fields	High correlation
`runtime` is highly correlated with `season` and 2 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 2 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `season` and 2 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_summary` and 15 other fields	High correlation
`summary` is highly correlated with `url` and 6 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_type` and 8 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`image` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`name` is highly correlated with `url` and 5 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 15 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 18 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`id` is highly correlated with `url` and 15 other fields	High correlation
`url` is highly correlated with `id` and 24 other fields	High correlation
`name` is highly correlated with `id` and 17 other fields	High correlation
`season` is highly correlated with `url` and 15 other fields	High correlation
`number` is highly correlated with `url` and 12 other fields	High correlation
`airtime` is highly correlated with `url` and 18 other fields	High correlation
`airstamp` is highly correlated with `id` and 23 other fields	High correlation
`runtime` is highly correlated with `url` and 14 other fields	High correlation
`image` is highly correlated with `id` and 23 other fields	High correlation
`summary` is highly correlated with `url` and 13 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 15 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_status` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `url` and 14 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `url` and 16 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_ended` is highly correlated with `url` and 15 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_weight` is highly correlated with `url` and 17 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 19 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 24 other fields	High correlation
`runtime` has 5 (9.3%) missing values	Missing
`image` has 37 (68.5%) missing values	Missing
`_embedded_show_runtime` has 24 (44.4%) missing values	Missing
`_embedded_show_averageRuntime` has 5 (9.3%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`image` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique
`_embedded_show_weight` has 1 (1.9%) zeros	Zeros

Reproduction

Analysis started	2022-05-10 02:02:11.337747
Analysis finished	2022-05-10 02:02:41.791425
Duration	30.45 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	54
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2060896.685

Minimum	1943279
Maximum	2318097
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	560.0 B

Quantile statistics

Minimum	1943279
5-th percentile	1958661.35
Q1	1972882.25
median	2010852
Q3	2153995.75
95-th percentile	2239169.25
Maximum	2318097
Range	374818
Interquartile range (IQR)	181113.5

Descriptive statistics

Standard deviation	104708.4349
Coefficient of variation (CV)	0.05080722176
Kurtosis	-0.5467811051
Mean	2060896.685
Median Absolute Deviation (MAD)	46863.5
Skewness	0.7294637316
Sum	111288421
Variance	1.096385634 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1979826	1	1.9%
2289320	1	1.9%
1979849	1	1.9%
2130270	1	1.9%
1980954	1	1.9%
2042002	1	1.9%
1980208	1	1.9%
1946581	1	1.9%
1981049	1	1.9%
1965950	1	1.9%
Other values (44)	44	81.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1943279	1	1.9%
1946581	1	1.9%
1953787	1	1.9%
1961286	1	1.9%
1962056	1	1.9%
1965921	1	1.9%
1965950	1	1.9%
1967067	1	1.9%
1968112	1	1.9%
1969054	1	1.9%

Value	Count	Frequency (%)
2318097	1	1.9%
2311212	1	1.9%
2289320	1	1.9%
2212165	1	1.9%
2182116	1	1.9%
2181795	1	1.9%
2176122	1	1.9%
2154002	1	1.9%
2154001	1	1.9%
2154000	1	1.9%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	54
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

https://www.tvmaze.com/episodes/1979826/sim-for-you-4x18-chanyeols-episode-18	1
https://www.tvmaze.com/episodes/2289320/blippi-2020-12-05-blippi-decorates-the-christmas-tree-educational-videos-for-kids	1
https://www.tvmaze.com/episodes/1979849/neznyj-redaktor-6x01-cajldfri-ili-rozat-zacem-nuzny-deti-intensivnoe-materinstvo-podrugi	1
https://www.tvmaze.com/episodes/2130270/wowcraft-1x52-expac-tations	1
https://www.tvmaze.com/episodes/1980954/jachtseizoen-5x06-gaby-blaaser-op-de-vlucht	1
Other values (49)	49

Length

Max length	131
Median length	90
Mean length	81.18518519
Min length	55

Characters and Unicode

Total characters	4384
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1979826/sim-for-you-4x18-chanyeols-episode-18
2nd row	https://www.tvmaze.com/episodes/1968112/po-sezonu-videodajdzest-seasonvar-6x49-vypusk-303
3rd row	https://www.tvmaze.com/episodes/1980956/soul-land-7x03-di133ji
4th row	https://www.tvmaze.com/episodes/1962056/heaven-officials-blessing-1x07-scorpion-tailed-snake-shadow
5th row	https://www.tvmaze.com/episodes/1972559/the-wolf-1x17-episode-17

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979826/sim-for-you-4x18-chanyeols-episode-18	1	1.9%
https://www.tvmaze.com/episodes/2289320/blippi-2020-12-05-blippi-decorates-the-christmas-tree-educational-videos-for-kids	1	1.9%
https://www.tvmaze.com/episodes/1979849/neznyj-redaktor-6x01-cajldfri-ili-rozat-zacem-nuzny-deti-intensivnoe-materinstvo-podrugi	1	1.9%
https://www.tvmaze.com/episodes/2130270/wowcraft-1x52-expac-tations	1	1.9%
https://www.tvmaze.com/episodes/1980954/jachtseizoen-5x06-gaby-blaaser-op-de-vlucht	1	1.9%
https://www.tvmaze.com/episodes/2042002/game-changer-wrestling-2020-12-05-gcw-slime-season	1	1.9%
https://www.tvmaze.com/episodes/1980208/world-war-two-week-by-week-3x14-december-5-1941	1	1.9%
https://www.tvmaze.com/episodes/1946581/detention-1x01-devil	1	1.9%
https://www.tvmaze.com/episodes/1981049/detention-1x02-who-am-i	1	1.9%
https://www.tvmaze.com/episodes/1965950/i-told-sunset-about-you-the-documentary-1x08-all-the-significance	1	1.9%
Other values (44)	44	81.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1979826/sim-for-you-4x18-chanyeols-episode-18	1	1.9%
https://www.tvmaze.com/episodes/2041863/fandom-tour-1x12-stray-kidsui-majimag-chueog-yeohaeng	1	1.9%
https://www.tvmaze.com/episodes/2154002/oteren-svenn-1x10-badebassenget	1	1.9%
https://www.tvmaze.com/episodes/1980956/soul-land-7x03-di133ji	1	1.9%
https://www.tvmaze.com/episodes/1962056/heaven-officials-blessing-1x07-scorpion-tailed-snake-shadow	1	1.9%
https://www.tvmaze.com/episodes/1972559/the-wolf-1x17-episode-17	1	1.9%
https://www.tvmaze.com/episodes/1972560/the-wolf-1x18-episode-18	1	1.9%
https://www.tvmaze.com/episodes/2113317/klassen-3x16-bursdagstyven	1	1.9%
https://www.tvmaze.com/episodes/1969218/team-ingebrigtsen-4x01-episode-1	1	1.9%
https://www.tvmaze.com/episodes/1980944/team-ingebrigtsen-4x02-episode-2	1	1.9%
Other values (44)	44	81.5%

Most occurring characters

Value	Count	Frequency (%)
e	371	8.5%
-	338	7.7%
s	284	6.5%
t	281	6.4%
/	270	6.2%
o	224	5.1%
w	193	4.4%
i	179	4.1%
a	165	3.8%
m	145	3.3%
Other values (30)	1934	44.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2989	68.2%
Decimal Number	625	14.3%
Other Punctuation	432	9.9%
Dash Punctuation	338	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	371	12.4%
s	284	9.5%
t	281	9.4%
o	224	7.5%
w	193	6.5%
i	179	6.0%
a	165	5.5%
m	145	4.9%
p	144	4.8%
n	118	3.9%
Other values (16)	885	29.6%

Decimal Number

Value	Count	Frequency (%)
1	140	22.4%
0	96	15.4%
2	95	15.2%
9	69	11.0%
5	46	7.4%
3	41	6.6%
7	40	6.4%
8	36	5.8%
6	33	5.3%
4	29	4.6%

Other Punctuation

Value	Count	Frequency (%)
/	270	62.5%
.	108	25.0%
:	54	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	338	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2989	68.2%
Common	1395	31.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	371	12.4%
s	284	9.5%
t	281	9.4%
o	224	7.5%
w	193	6.5%
i	179	6.0%
a	165	5.5%
m	145	4.9%
p	144	4.8%
n	118	3.9%
Other values (16)	885	29.6%

Common

Value	Count	Frequency (%)
-	338	24.2%
/	270	19.4%
1	140	10.0%
.	108	7.7%
0	96	6.9%
2	95	6.8%
9	69	4.9%
:	54	3.9%
5	46	3.3%
3	41	2.9%
Other values (4)	138	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4384	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	371	8.5%
-	338	7.7%
s	284	6.5%
t	281	6.4%
/	270	6.2%
o	224	5.1%
w	193	4.4%
i	179	4.1%
a	165	3.8%
m	145	3.3%
Other values (30)	1934	44.1%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	51
Distinct (%)	94.4%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

Episode 1	2
Episode 2	2
Episode 5	2
Chanyeol's Episode 18	1
Episode 41	1
Other values (46)	46

Length

Max length	72
Median length	42.5
Mean length	18.2962963
Min length	5

Characters and Unicode

Total characters	988
Distinct characters	111
Distinct categories	8 ?
Distinct scripts	5 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48 ?
Unique (%)	88.9%

Sample

1st row	Chanyeol's Episode 18
2nd row	Выпуск 303
3rd row	第133集
4th row	Scorpion-Tailed Snake Shadow
5th row	Episode 17

Common Values

Value	Count	Frequency (%)
Episode 1	2	3.7%
Episode 2	2	3.7%
Episode 5	2	3.7%
Chanyeol's Episode 18	1	1.9%
Episode 41	1	1.9%
Gaby Blaaser op de vlucht	1	1.9%
GCW Slime Season	1	1.9%
December 5, 1941	1	1.9%
Devil	1	1.9%
Who am I?	1	1.9%
Other values (41)	41	75.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	10	5.8%
5	4	2.3%
the	4	2.3%
on	3	1.7%
	3	1.7%
vs	3	1.7%
2	3	1.7%
water	2	1.2%
december	2	1.2%
ufc	2	1.2%
Other values (129)	136	79.1%

Most occurring characters

Value	Count	Frequency (%)
	118	11.9%
e	72	7.3%
i	56	5.7%
a	50	5.1%
s	46	4.7%
o	46	4.7%
r	40	4.0%
t	40	4.0%
n	38	3.8%
l	26	2.6%
Other values (101)	456	46.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	638	64.6%
Uppercase Letter	159	16.1%
Space Separator	118	11.9%
Decimal Number	41	4.1%
Other Punctuation	17	1.7%
Other Letter	10	1.0%
Dash Punctuation	3	0.3%
Math Symbol	2	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	72	11.3%
i	56	8.8%
a	50	7.8%
s	46	7.2%
o	46	7.2%
r	40	6.3%
t	40	6.3%
n	38	6.0%
l	26	4.1%
h	25	3.9%
Other values (34)	199	31.2%

Uppercase Letter

Value	Count	Frequency (%)
E	18	11.3%
S	16	10.1%
B	12	7.5%
C	10	6.3%
T	10	6.3%
F	8	5.0%
H	7	4.4%
P	6	3.8%
D	6	3.8%
I	5	3.1%
Other values (28)	61	38.4%

Decimal Number

Value	Count	Frequency (%)
1	11	26.8%
2	6	14.6%
3	4	9.8%
5	4	9.8%
0	3	7.3%
7	3	7.3%
4	3	7.3%
9	3	7.3%
8	3	7.3%
6	1	2.4%

Other Letter

Value	Count	Frequency (%)
第	1	10.0%
여	1	10.0%
행	1	10.0%
추	1	10.0%
막	1	10.0%
集	1	10.0%
지	1	10.0%
마	1	10.0%
의	1	10.0%
억	1	10.0%

Other Punctuation

Value	Count	Frequency (%)
.	4	23.5%
,	4	23.5%
?	3	17.6%
:	2	11.8%
'	2	11.8%
"	2	11.8%

Space Separator

Value	Count	Frequency (%)
	118	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	726	73.5%
Common	181	18.3%
Cyrillic	71	7.2%
Hangul	8	0.8%
Han	2	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	72	9.9%
i	56	7.7%
a	50	6.9%
s	46	6.3%
o	46	6.3%
r	40	5.5%
t	40	5.5%
n	38	5.2%
l	26	3.6%
h	25	3.4%
Other values (38)	287	39.5%

Cyrillic

Value	Count	Frequency (%)
е	6	8.5%
н	6	8.5%
и	6	8.5%
т	5	7.0%
с	4	5.6%
р	3	4.2%
о	3	4.2%
а	3	4.2%
И	3	4.2%
ы	2	2.8%
Other values (24)	30	42.3%

Common

Value	Count	Frequency (%)
	118	65.2%
1	11	6.1%
2	6	3.3%
.	4	2.2%
3	4	2.2%
,	4	2.2%
5	4	2.2%
0	3	1.7%
7	3	1.7%
4	3	1.7%
Other values (9)	21	11.6%

Hangul

Value	Count	Frequency (%)
여	1	12.5%
행	1	12.5%
추	1	12.5%
막	1	12.5%
지	1	12.5%
마	1	12.5%
의	1	12.5%
억	1	12.5%

Han

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	903	91.4%
Cyrillic	71	7.2%
Hangul	8	0.8%
None	4	0.4%
CJK	2	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	118	13.1%
e	72	8.0%
i	56	6.2%
a	50	5.5%
s	46	5.1%
o	46	5.1%
r	40	4.4%
t	40	4.4%
n	38	4.2%
l	26	2.9%
Other values (55)	371	41.1%

Cyrillic

Value	Count	Frequency (%)
е	6	8.5%
н	6	8.5%
и	6	8.5%
т	5	7.0%
с	4	5.6%
р	3	4.2%
о	3	4.2%
а	3	4.2%
И	3	4.2%
ы	2	2.8%
Other values (24)	30	42.3%

None

Value	Count	Frequency (%)
å	2	50.0%
ø	2	50.0%

CJK

Value	Count	Frequency (%)
第	1	50.0%
集	1	50.0%

Hangul

Value	Count	Frequency (%)
여	1	12.5%
행	1	12.5%
추	1	12.5%
막	1	12.5%
지	1	12.5%
마	1	12.5%
의	1	12.5%
억	1	12.5%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	301.1481481

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	560.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	5.75
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	4.75

Descriptive statistics

Standard deviation	723.5439616
Coefficient of variation (CV)	2.402618001
Kurtosis	2.234552979
Mean	301.1481481
Median Absolute Deviation (MAD)	0
Skewness	2.037909832
Sum	16262
Variance	523515.8644
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	30	55.6%
2020	8	14.8%
4	3	5.6%
6	3	5.6%
3	3	5.6%
2	3	5.6%
7	2	3.7%
5	1	1.9%
8	1	1.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	30	55.6%
2	3	5.6%
3	3	5.6%
4	3	5.6%
5	1	1.9%
6	3	5.6%
7	2	3.7%
8	1	1.9%
2020	8	14.8%

Value	Count	Frequency (%)
2020	8	14.8%
8	1	1.9%
7	2	3.7%
6	3	5.6%
5	1	1.9%
4	3	5.6%
3	3	5.6%
2	3	5.6%
1	30	55.6%

number
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	24
Distinct (%)	44.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.40740741

Minimum	1
Maximum	332
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	560.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3.25
median	7
Q3	15.75
95-th percentile	51.35
Maximum	332
Range	331
Interquartile range (IQR)	12.5

Descriptive statistics

Standard deviation	46.29785378
Coefficient of variation (CV)	2.515175155
Kurtosis	41.40711599
Mean	18.40740741
Median Absolute Deviation (MAD)	4
Skewness	6.146898395
Sum	994
Variance	2143.491265
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
3	5	9.3%
1	5	9.3%
5	4	7.4%
6	4	7.4%
4	4	7.4%
2	4	7.4%
10	3	5.6%
8	3	5.6%
18	3	5.6%
7	3	5.6%
Other values (14)	16	29.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	9.3%
2	4	7.4%
3	5	9.3%
4	4	7.4%
5	4	7.4%
6	4	7.4%
7	3	5.6%
8	3	5.6%
9	1	1.9%
10	3	5.6%

Value	Count	Frequency (%)
332	1	1.9%
84	1	1.9%
52	1	1.9%
51	1	1.9%
49	1	1.9%
41	1	1.9%
29	2	3.7%
18	3	5.6%
17	1	1.9%
16	2	3.7%

type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

regular	54

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	378
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	54	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	54	100.0%

Most occurring characters

Value	Count	Frequency (%)
r	108	28.6%
e	54	14.3%
g	54	14.3%
u	54	14.3%
l	54	14.3%
a	54	14.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	378	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	108	28.6%
e	54	14.3%
g	54	14.3%
u	54	14.3%
l	54	14.3%
a	54	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	378	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	108	28.6%
e	54	14.3%
g	54	14.3%
u	54	14.3%
l	54	14.3%
a	54	14.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	378	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	108	28.6%
e	54	14.3%
g	54	14.3%
u	54	14.3%
l	54	14.3%
a	54	14.3%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

2020-12-05	54

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	540
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-05
2nd row	2020-12-05
3rd row	2020-12-05
4th row	2020-12-05
5th row	2020-12-05

Common Values

Value	Count	Frequency (%)
2020-12-05	54	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-05	54	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	162	30.0%
0	162	30.0%
-	108	20.0%
1	54	10.0%
5	54	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	432	80.0%
Dash Punctuation	108	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	162	37.5%
0	162	37.5%
1	54	12.5%
5	54	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	108	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	540	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	162	30.0%
0	162	30.0%
-	108	20.0%
1	54	10.0%
5	54	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	540	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	162	30.0%
0	162	30.0%
-	108	20.0%
1	54	10.0%
5	54	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	27.8%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

nan	34
06:00	5
11:00	2
18:00	2
10:00	1
Other values (10)	10

Length

Max length	5
Median length	3
Mean length	3.740740741
Min length	3

Characters and Unicode

Total characters	202
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	20.4%

Sample

1st row	06:00
2nd row	nan
3rd row	10:00
4th row	11:00
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	34	63.0%
06:00	5	9.3%
11:00	2	3.7%
18:00	2	3.7%
10:00	1	1.9%
05:00	1	1.9%
17:00	1	1.9%
18:30	1	1.9%
20:00	1	1.9%
00:15	1	1.9%
Other values (5)	5	9.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	34	63.0%
06:00	5	9.3%
11:00	2	3.7%
18:00	2	3.7%
10:00	1	1.9%
05:00	1	1.9%
17:00	1	1.9%
18:30	1	1.9%
20:00	1	1.9%
00:15	1	1.9%
Other values (5)	5	9.3%

Most occurring characters

Value	Count	Frequency (%)
n	68	33.7%
0	43	21.3%
a	34	16.8%
:	20	9.9%
1	14	6.9%
6	6	3.0%
5	5	2.5%
2	4	2.0%
8	3	1.5%
3	2	1.0%
Other values (2)	3	1.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	102	50.5%
Decimal Number	80	39.6%
Other Punctuation	20	9.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	43	53.8%
1	14	17.5%
6	6	7.5%
5	5	6.2%
2	4	5.0%
8	3	3.8%
3	2	2.5%
9	2	2.5%
7	1	1.2%

Lowercase Letter

Value	Count	Frequency (%)
n	68	66.7%
a	34	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	102	50.5%
Common	100	49.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	43	43.0%
:	20	20.0%
1	14	14.0%
6	6	6.0%
5	5	5.0%
2	4	4.0%
8	3	3.0%
3	2	2.0%
9	2	2.0%
7	1	1.0%

Latin

Value	Count	Frequency (%)
n	68	66.7%
a	34	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	202	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	68	33.7%
0	43	21.3%
a	34	16.8%
:	20	9.9%
1	14	6.9%
6	6	3.0%
5	5	2.5%
2	4	2.0%
8	3	1.5%
3	2	1.0%
Other values (2)	3	1.5%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	22
Distinct (%)	40.7%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

2020-12-05T12:00:00+00:00	15
2020-12-05T11:00:00+00:00	11
2020-12-05T17:00:00+00:00	4
2020-12-05T04:00:00+00:00	3
2020-12-05T05:00:00+00:00	3
Other values (17)	18

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	1350
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	29.6%

Sample

1st row	2020-12-04T21:00:00+00:00
2nd row	2020-12-05T00:00:00+00:00
3rd row	2020-12-05T02:00:00+00:00
4th row	2020-12-05T03:00:00+00:00
5th row	2020-12-05T04:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-05T12:00:00+00:00	15	27.8%
2020-12-05T11:00:00+00:00	11	20.4%
2020-12-05T17:00:00+00:00	4	7.4%
2020-12-05T04:00:00+00:00	3	5.6%
2020-12-05T05:00:00+00:00	3	5.6%
2020-12-05T09:00:00+00:00	2	3.7%
2020-12-05T13:00:00+00:00	1	1.9%
2020-12-06T00:30:00+00:00	1	1.9%
2020-12-05T21:00:00+00:00	1	1.9%
2020-12-05T20:55:00+00:00	1	1.9%
Other values (12)	12	22.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-05t12:00:00+00:00	15	27.8%
2020-12-05t11:00:00+00:00	11	20.4%
2020-12-05t17:00:00+00:00	4	7.4%
2020-12-05t04:00:00+00:00	3	5.6%
2020-12-05t05:00:00+00:00	3	5.6%
2020-12-05t09:00:00+00:00	2	3.7%
2020-12-05t00:00:00+00:00	1	1.9%
2020-12-05t02:00:00+00:00	1	1.9%
2020-12-05t03:00:00+00:00	1	1.9%
2020-12-05t06:00:00+00:00	1	1.9%
Other values (12)	12	22.2%

Most occurring characters

Value	Count	Frequency (%)
0	607	45.0%
2	181	13.4%
:	162	12.0%
-	108	8.0%
1	102	7.6%
5	59	4.4%
T	54	4.0%
+	54	4.0%
7	5	0.4%
3	5	0.4%
Other values (4)	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	972	72.0%
Other Punctuation	162	12.0%
Dash Punctuation	108	8.0%
Uppercase Letter	54	4.0%
Math Symbol	54	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	607	62.4%
2	181	18.6%
1	102	10.5%
5	59	6.1%
7	5	0.5%
3	5	0.5%
4	4	0.4%
6	4	0.4%
9	3	0.3%
8	2	0.2%

Other Punctuation

Value	Count	Frequency (%)
:	162	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	108	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	54	100.0%

Math Symbol

Value	Count	Frequency (%)
+	54	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1296	96.0%
Latin	54	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	607	46.8%
2	181	14.0%
:	162	12.5%
-	108	8.3%
1	102	7.9%
5	59	4.6%
+	54	4.2%
7	5	0.4%
3	5	0.4%
4	4	0.3%
Other values (3)	9	0.7%

Latin

Value	Count	Frequency (%)
T	54	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1350	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	607	45.0%
2	181	13.4%
:	162	12.0%
-	108	8.0%
1	102	7.6%
5	59	4.4%
T	54	4.0%
+	54	4.0%
7	5	0.4%
3	5	0.4%
Other values (4)	13	1.0%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	24
Distinct (%)	49.0%
Missing	5
Missing (%)	9.3%
Infinite	0
Infinite (%)	0.0%
Mean	42.2244898

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	560.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	5
median	24
Q3	47
95-th percentile	120
Maximum	300
Range	298
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	60.38772823
Coefficient of variation (CV)	1.430158861
Kurtosis	11.87114494
Mean	42.2244898
Median Absolute Deviation (MAD)	19
Skewness	3.276010193
Sum	2069
Variance	3646.677721
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
5	11	20.4%
30	5	9.3%
45	4	7.4%
20	3	5.6%
60	3	5.6%
16	2	3.7%
21	2	3.7%
120	2	3.7%
25	2	3.7%
23	1	1.9%
Other values (14)	14	25.9%
(Missing)	5	9.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.9%
4	1	1.9%
5	11	20.4%
8	1	1.9%
11	1	1.9%
15	1	1.9%
16	2	3.7%
20	3	5.6%
21	2	3.7%
23	1	1.9%

Value	Count	Frequency (%)
300	1	1.9%
293	1	1.9%
120	2	3.7%
93	1	1.9%
91	1	1.9%
61	1	1.9%
60	3	5.6%
56	1	1.9%
52	1	1.9%
47	1	1.9%

image
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct	17
Distinct (%)	100.0%
Missing	37
Missing (%)	68.5%
Memory size	560.0 B

{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717768.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717768.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/350/877095.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/350/877095.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/719058.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/719058.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/329/823874.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/329/823874.jpg'}	1
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717714.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717714.jpg'}	1
Other values (12)	12

Length

Max length	178
Median length	176
Mean length	176.1176471
Min length	176

Characters and Unicode

Total characters	2994
Distinct characters	38
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	100.0%

Sample

1st row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717768.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717768.jpg'}
2nd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717771.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717771.jpg'}
3rd row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726339.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726339.jpg'}
4th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/361/903572.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/361/903572.jpg'}
5th row	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716829.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716829.jpg'}

Common Values

Value	Count	Frequency (%)
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717768.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717768.jpg'}	1	1.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/350/877095.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/350/877095.jpg'}	1	1.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/719058.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/719058.jpg'}	1	1.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/329/823874.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/329/823874.jpg'}	1	1.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717714.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717714.jpg'}	1	1.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/404/1010040.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/404/1010040.jpg'}	1	1.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/285/713903.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/285/713903.jpg'}	1	1.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/329/823867.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/329/823867.jpg'}	1	1.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/286/716865.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/286/716865.jpg'}	1	1.9%
{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717647.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717647.jpg'}	1	1.9%
Other values (7)	7	13.0%
(Missing)	37	68.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
medium	17	25.0%
original	17	25.0%
https://static.tvmaze.com/uploads/images/original_untouched/286/716829.jpg	1	1.5%
https://static.tvmaze.com/uploads/images/original_untouched/287/717647.jpg	1	1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/287/717646.jpg	1	1.5%
https://static.tvmaze.com/uploads/images/original_untouched/287/717646.jpg	1	1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/290/725743.jpg	1	1.5%
https://static.tvmaze.com/uploads/images/original_untouched/290/725743.jpg	1	1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/286/716829.jpg	1	1.5%
https://static.tvmaze.com/uploads/images/medium_landscape/361/903572.jpg	1	1.5%
Other values (26)	26	38.2%

Most occurring characters

Value	Count	Frequency (%)
/	238	7.9%
a	204	6.8%
t	187	6.2%
m	170	5.7%
i	170	5.7%
s	153	5.1%
e	136	4.5%
'	136	4.5%
o	119	4.0%
p	119	4.0%
Other values (28)	1362	45.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2006	67.0%
Other Punctuation	561	18.7%
Decimal Number	308	10.3%
Space Separator	51	1.7%
Connector Punctuation	34	1.1%
Close Punctuation	17	0.6%
Open Punctuation	17	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	204	10.2%
t	187	9.3%
m	170	8.5%
i	170	8.5%
s	153	7.6%
e	136	6.8%
o	119	5.9%
p	119	5.9%
g	102	5.1%
c	102	5.1%
Other values (9)	544	27.1%

Decimal Number

Value	Count	Frequency (%)
7	68	22.1%
2	42	13.6%
8	40	13.0%
1	30	9.7%
3	26	8.4%
0	26	8.4%
6	24	7.8%
9	20	6.5%
4	18	5.8%
5	14	4.5%

Other Punctuation

Value	Count	Frequency (%)
/	238	42.4%
'	136	24.2%
.	102	18.2%
:	68	12.1%
,	17	3.0%

Space Separator

Value	Count	Frequency (%)
	51	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	34	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	17	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	17	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2006	67.0%
Common	988	33.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	238	24.1%
'	136	13.8%
.	102	10.3%
:	68	6.9%
7	68	6.9%
	51	5.2%
2	42	4.3%
8	40	4.0%
_	34	3.4%
1	30	3.0%
Other values (9)	179	18.1%

Latin

Value	Count	Frequency (%)
a	204	10.2%
t	187	9.3%
m	170	8.5%
i	170	8.5%
s	153	7.6%
e	136	6.8%
o	119	5.9%
p	119	5.9%
g	102	5.1%
c	102	5.1%
Other values (9)	544	27.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2994	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	238	7.9%
a	204	6.8%
t	187	6.2%
m	170	5.7%
i	170	5.7%
s	153	5.1%
e	136	4.5%
'	136	4.5%
o	119	4.0%
p	119	4.0%
Other values (28)	1362	45.5%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	24.1%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

nan	42
<p><b>#DangerQuest #AbleToFly(?) #EntranceOfAWindSkill</b></p>	1
<p>The Wehrmacht is halted by the Red Army at the gates of Moscow. Not only that, but a Red Army counteroffensive begins pushing the Germans back decisively. The Germans are also beginning to withdraw from their siege of Tobruk in North Africa. Japan, however, is advancing all over the Pacific, sending troop transports into the South China Sea, though it is unclear just whom Japan plans to attack. The Japanese are also- in top secrecy- sending a force of aircraft carriers to soon attack the American Pacific fleet at anchor at Pearl Harbor.</p>	1
<p>At Greenwood High School, transfer student Liu Yun-hsiang witnesses a shocking incident at a deserted building and runs afoul of school authorities.</p><p><br /> </p>	1
<p>After an initial encounter with Fang Jui-hsin's spirit, Yun-hsiang finds herself in an otherworldly dimension and accepts a life-altering bargain.</p>	1
Other values (8)	8

Length

Max length	549
Median length	3
Mean length	45.2037037
Min length	3

Characters and Unicode

Total characters	2441
Distinct characters	63
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	22.2%

Sample

1st row	<p><b>#DangerQuest #AbleToFly(?) #EntranceOfAWindSkill</b></p>
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	42	77.8%
<p><b>#DangerQuest #AbleToFly(?) #EntranceOfAWindSkill</b></p>	1	1.9%
<p>The Wehrmacht is halted by the Red Army at the gates of Moscow. Not only that, but a Red Army counteroffensive begins pushing the Germans back decisively. The Germans are also beginning to withdraw from their siege of Tobruk in North Africa. Japan, however, is advancing all over the Pacific, sending troop transports into the South China Sea, though it is unclear just whom Japan plans to attack. The Japanese are also- in top secrecy- sending a force of aircraft carriers to soon attack the American Pacific fleet at anchor at Pearl Harbor.</p>	1	1.9%
<p>At Greenwood High School, transfer student Liu Yun-hsiang witnesses a shocking incident at a deserted building and runs afoul of school authorities.</p><p><br /> </p>	1	1.9%
<p>After an initial encounter with Fang Jui-hsin's spirit, Yun-hsiang finds herself in an otherworldly dimension and accepts a life-altering bargain.</p>	1	1.9%
<p>Go behind the scenes with Billkin and PP as the reflect on the intimate moments in the show. The crew also reveal some of the difficult scenes to film involving road closures and other challenges. </p>	1	1.9%
<p>Supermom Tregaye Fraser throws the ultimate birthday party for Zaire with a Slider and Brat Bar, a Quick Chili for the hot dogs and a tasty Pimento Cheese. For dessert, indulge in delicious Peanut Butter and Strawberry Shortcake Jars.</p>	1	1.9%
<p>Off and Boat, explore an abandoned four-story building. Off realizes that there is something even scarier.</p>	1	1.9%
<p>This is an original story not from the book. The keyword in the story is "a meeting over time".</p>	1	1.9%
<p>This is it. Their chance to tell the world the truth. Will their message be heard?</p>	1	1.9%
Other values (3)	3	5.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	42	10.3%
the	26	6.4%
and	11	2.7%
a	11	2.7%
to	10	2.5%
is	8	2.0%
with	7	1.7%
in	6	1.5%
of	6	1.5%
an	5	1.2%
Other values (234)	276	67.6%

Most occurring characters

Value	Count	Frequency (%)
	351	14.4%
n	203	8.3%
a	197	8.1%
e	197	8.1%
t	156	6.4%
i	139	5.7%
r	136	5.6%
o	118	4.8%
s	108	4.4%
h	94	3.9%
Other values (53)	742	30.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1839	75.3%
Space Separator	355	14.5%
Uppercase Letter	113	4.6%
Other Punctuation	66	2.7%
Math Symbol	58	2.4%
Dash Punctuation	8	0.3%
Close Punctuation	1	< 0.1%
Open Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	203	11.0%
a	197	10.7%
e	197	10.7%
t	156	8.5%
i	139	7.6%
r	136	7.4%
o	118	6.4%
s	108	5.9%
h	94	5.1%
l	68	3.7%
Other values (15)	423	23.0%

Uppercase Letter

Value	Count	Frequency (%)
T	15	13.3%
S	11	9.7%
P	11	9.7%
C	11	9.7%
A	9	8.0%
B	8	7.1%
J	6	5.3%
G	5	4.4%
L	5	4.4%
O	4	3.5%
Other values (13)	28	24.8%

Other Punctuation

Value	Count	Frequency (%)
.	22	33.3%
,	17	25.8%
/	15	22.7%
'	4	6.1%
#	3	4.5%
"	2	3.0%
?	2	3.0%
!	1	1.5%

Space Separator

Value	Count	Frequency (%)
	351	98.9%
	4	1.1%

Math Symbol

Value	Count	Frequency (%)
<	29	50.0%
>	29	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1952	80.0%
Common	489	20.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	203	10.4%
a	197	10.1%
e	197	10.1%
t	156	8.0%
i	139	7.1%
r	136	7.0%
o	118	6.0%
s	108	5.5%
h	94	4.8%
l	68	3.5%
Other values (38)	536	27.5%

Common

Value	Count	Frequency (%)
	351	71.8%
<	29	5.9%
>	29	5.9%
.	22	4.5%
,	17	3.5%
/	15	3.1%
-	8	1.6%
	4	0.8%
'	4	0.8%
#	3	0.6%
Other values (5)	7	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2437	99.8%
None	4	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	351	14.4%
n	203	8.3%
a	197	8.1%
e	197	8.1%
t	156	6.4%
i	139	5.7%
r	136	5.6%
o	118	4.8%
s	108	4.4%
h	94	3.9%
Other values (52)	738	30.3%

None

Value	Count	Frequency (%)
	4	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	42
Distinct (%)	77.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45677.27778

Minimum	1596
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	560.0 B

Quantile statistics

Minimum	1596
5-th percentile	7234.5
Q1	40226.75
median	51219.5
Q3	57032
95-th percentile	59545.4
Maximum	61755
Range	60159
Interquartile range (IQR)	16805.25

Descriptive statistics

Standard deviation	15397.91065
Coefficient of variation (CV)	0.337102196
Kurtosis	1.606853885
Mean	45677.27778
Median Absolute Deviation (MAD)	5812.5
Skewness	-1.511461308
Sum	2466573
Variance	237095652.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
57032	10	18.5%
47912	2	3.7%
31894	2	3.7%
51125	2	3.7%
41648	1	1.9%
61536	1	1.9%
53851	1	1.9%
56067	1	1.9%
57945	1	1.9%
60848	1	1.9%
Other values (32)	32	59.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1596	1	1.9%
4091	1	1.9%
6097	1	1.9%
7847	1	1.9%
19667	1	1.9%
24963	1	1.9%
25294	1	1.9%
30606	1	1.9%
31894	2	3.7%
33691	1	1.9%

Value	Count	Frequency (%)
61755	1	1.9%
61536	1	1.9%
60848	1	1.9%
58844	1	1.9%
57956	1	1.9%
57945	1	1.9%
57032	10	18.5%
56605	1	1.9%
56067	1	1.9%
55919	1	1.9%

_embedded_show_url
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	42
Distinct (%)	77.8%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

https://www.tvmaze.com/shows/57032/oteren-svenn	10
https://www.tvmaze.com/shows/47912/the-wolf	2
https://www.tvmaze.com/shows/31894/team-ingebrigtsen	2
https://www.tvmaze.com/shows/51125/detention	2
https://www.tvmaze.com/shows/41648/sim-for-you	1
Other values (37)	37

Length

Max length	74
Median length	62
Mean length	51.03703704
Min length	38

Characters and Unicode

Total characters	2756
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	70.4%

Sample

1st row	https://www.tvmaze.com/shows/41648/sim-for-you
2nd row	https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar
3rd row	https://www.tvmaze.com/shows/35551/soul-land
4th row	https://www.tvmaze.com/shows/51670/heaven-officials-blessing
5th row	https://www.tvmaze.com/shows/47912/the-wolf

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/57032/oteren-svenn	10	18.5%
https://www.tvmaze.com/shows/47912/the-wolf	2	3.7%
https://www.tvmaze.com/shows/31894/team-ingebrigtsen	2	3.7%
https://www.tvmaze.com/shows/51125/detention	2	3.7%
https://www.tvmaze.com/shows/41648/sim-for-you	1	1.9%
https://www.tvmaze.com/shows/61536/ano-ko-no-yume-wo-mitan-desu	1	1.9%
https://www.tvmaze.com/shows/53851/tregayes-way-in-the-kitchen	1	1.9%
https://www.tvmaze.com/shows/56067/yaar-jigree-kasooti-degree	1	1.9%
https://www.tvmaze.com/shows/57945/i-like-to-watch	1	1.9%
https://www.tvmaze.com/shows/60848/blippi	1	1.9%
Other values (32)	32	59.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/57032/oteren-svenn	10	18.5%
https://www.tvmaze.com/shows/51125/detention	2	3.7%
https://www.tvmaze.com/shows/47912/the-wolf	2	3.7%
https://www.tvmaze.com/shows/31894/team-ingebrigtsen	2	3.7%
https://www.tvmaze.com/shows/53888/fandom-tour	1	1.9%
https://www.tvmaze.com/shows/33691/melon-music-awards	1	1.9%
https://www.tvmaze.com/shows/35551/soul-land	1	1.9%
https://www.tvmaze.com/shows/51670/heaven-officials-blessing	1	1.9%
https://www.tvmaze.com/shows/55919/klassen	1	1.9%
https://www.tvmaze.com/shows/50752/stjernestov	1	1.9%
Other values (32)	32	59.3%

Most occurring characters

Value	Count	Frequency (%)
/	270	9.8%
w	237	8.6%
t	226	8.2%
s	218	7.9%
o	167	6.1%
e	164	6.0%
h	127	4.6%
m	126	4.6%
.	108	3.9%
a	100	3.6%
Other values (30)	1013	36.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1958	71.0%
Other Punctuation	432	15.7%
Decimal Number	270	9.8%
Dash Punctuation	96	3.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	237	12.1%
t	226	11.5%
s	218	11.1%
o	167	8.5%
e	164	8.4%
h	127	6.5%
m	126	6.4%
a	100	5.1%
v	72	3.7%
c	70	3.6%
Other values (16)	451	23.0%

Decimal Number

Value	Count	Frequency (%)
5	48	17.8%
3	31	11.5%
2	28	10.4%
0	28	10.4%
1	26	9.6%
4	26	9.6%
7	24	8.9%
6	22	8.1%
9	20	7.4%
8	17	6.3%

Other Punctuation

Value	Count	Frequency (%)
/	270	62.5%
.	108	25.0%
:	54	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	96	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1958	71.0%
Common	798	29.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	237	12.1%
t	226	11.5%
s	218	11.1%
o	167	8.5%
e	164	8.4%
h	127	6.5%
m	126	6.4%
a	100	5.1%
v	72	3.7%
c	70	3.6%
Other values (16)	451	23.0%

Common

Value	Count	Frequency (%)
/	270	33.8%
.	108	13.5%
-	96	12.0%
:	54	6.8%
5	48	6.0%
3	31	3.9%
2	28	3.5%
0	28	3.5%
1	26	3.3%
4	26	3.3%
Other values (4)	83	10.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2756	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	270	9.8%
w	237	8.6%
t	226	8.2%
s	218	7.9%
o	167	6.1%
e	164	6.0%
h	127	4.6%
m	126	4.6%
.	108	3.9%
a	100	3.6%
Other values (30)	1013	36.8%

_embedded_show_name
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	42
Distinct (%)	77.8%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

Oteren Svenn	10
The Wolf	2
Team Ingebrigtsen	2
Detention	2
Sim for You	1
Other values (37)	37

Length

Max length	39
Median length	28
Mean length	16.2962963
Min length	4

Characters and Unicode

Total characters	880
Distinct characters	78
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38 ?
Unique (%)	70.4%

Sample

1st row	Sim for You
2nd row	По сезону. Видеодайджест Seasonvar
3rd row	Soul Land
4th row	Heaven Official's Blessing
5th row	The Wolf

Common Values

Value	Count	Frequency (%)
Oteren Svenn	10	18.5%
The Wolf	2	3.7%
Team Ingebrigtsen	2	3.7%
Detention	2	3.7%
Sim for You	1	1.9%
Ano ko no Yume wo Mitan Desu	1	1.9%
Tregaye's Way in the Kitchen	1	1.9%
Yaar Jigree Kasooti Degree	1	1.9%
I Like to Watch	1	1.9%
Blippi	1	1.9%
Other values (32)	32	59.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
oteren	10	6.7%
svenn	10	6.7%
the	5	3.3%
ufc	2	1.3%
lovely	2	1.3%
i	2	1.3%
to	2	1.3%
of	2	1.3%
week	2	1.3%
fight	2	1.3%
Other values (104)	111	74.0%

Most occurring characters

Value	Count	Frequency (%)
e	100	11.4%
	96	10.9%
n	64	7.3%
t	48	5.5%
i	44	5.0%
r	42	4.8%
o	40	4.5%
a	39	4.4%
s	33	3.8%
l	23	2.6%
Other values (68)	351	39.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	628	71.4%
Uppercase Letter	142	16.1%
Space Separator	96	10.9%
Other Punctuation	10	1.1%
Decimal Number	4	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	100	15.9%
n	64	10.2%
t	48	7.6%
i	44	7.0%
r	42	6.7%
o	40	6.4%
a	39	6.2%
s	33	5.3%
l	23	3.7%
v	17	2.7%
Other values (35)	178	28.3%

Uppercase Letter

Value	Count	Frequency (%)
S	21	14.8%
W	14	9.9%
O	13	9.2%
T	13	9.2%
D	8	5.6%
B	8	5.6%
C	7	4.9%
I	6	4.2%
F	6	4.2%
Y	5	3.5%
Other values (16)	41	28.9%

Other Punctuation

Value	Count	Frequency (%)
.	4	40.0%
'	4	40.0%
:	1	10.0%
?	1	10.0%

Decimal Number

Value	Count	Frequency (%)
2	2	50.0%
0	2	50.0%

Space Separator

Value	Count	Frequency (%)
	96	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	728	82.7%
Common	110	12.5%
Cyrillic	42	4.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	100	13.7%
n	64	8.8%
t	48	6.6%
i	44	6.0%
r	42	5.8%
o	40	5.5%
a	39	5.4%
s	33	4.5%
l	23	3.2%
S	21	2.9%
Other values (40)	274	37.6%

Cyrillic

Value	Count	Frequency (%)
е	6	14.3%
о	5	11.9%
д	4	9.5%
т	3	7.1%
й	2	4.8%
ж	2	4.8%
н	2	4.8%
р	2	4.8%
с	2	4.8%
а	2	4.8%
Other values (11)	12	28.6%

Common

Value	Count	Frequency (%)
	96	87.3%
.	4	3.6%
'	4	3.6%
2	2	1.8%
0	2	1.8%
:	1	0.9%
?	1	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	836	95.0%
Cyrillic	42	4.8%
None	2	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	100	12.0%
	96	11.5%
n	64	7.7%
t	48	5.7%
i	44	5.3%
r	42	5.0%
o	40	4.8%
a	39	4.7%
s	33	3.9%
l	23	2.8%
Other values (45)	307	36.7%

Cyrillic

Value	Count	Frequency (%)
е	6	14.3%
о	5	11.9%
д	4	9.5%
т	3	7.1%
й	2	4.8%
ж	2	4.8%
н	2	4.8%
р	2	4.8%
с	2	4.8%
а	2	4.8%
Other values (11)	12	28.6%

None

Value	Count	Frequency (%)
å	1	50.0%
ø	1	50.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

Documentary	17
Scripted	14
Animation	6
Talk Show	5
Reality	4
Other values (4)	8

Length

Max length	11
Median length	10
Mean length	8.944444444
Min length	6

Characters and Unicode

Total characters	483
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	3.7%

Sample

1st row	Reality
2nd row	Talk Show
3rd row	Animation
4th row	Animation
5th row	Scripted

Common Values

Value	Count	Frequency (%)
Documentary	17	31.5%
Scripted	14	25.9%
Animation	6	11.1%
Talk Show	5	9.3%
Reality	4	7.4%
Sports	4	7.4%
Variety	2	3.7%
Award Show	1	1.9%
Game Show	1	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
documentary	17	27.9%
scripted	14	23.0%
show	7	11.5%
animation	6	9.8%
talk	5	8.2%
reality	4	6.6%
sports	4	6.6%
variety	2	3.3%
award	1	1.6%
game	1	1.6%

Most occurring characters

Value	Count	Frequency (%)
t	47	9.7%
e	38	7.9%
r	38	7.9%
a	36	7.5%
o	34	7.0%
i	32	6.6%
c	31	6.4%
n	29	6.0%
S	25	5.2%
m	24	5.0%
Other values (16)	149	30.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	415	85.9%
Uppercase Letter	61	12.6%
Space Separator	7	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	47	11.3%
e	38	9.2%
r	38	9.2%
a	36	8.7%
o	34	8.2%
i	32	7.7%
c	31	7.5%
n	29	7.0%
m	24	5.8%
y	23	5.5%
Other values (8)	83	20.0%

Uppercase Letter

Value	Count	Frequency (%)
S	25	41.0%
D	17	27.9%
A	7	11.5%
T	5	8.2%
R	4	6.6%
V	2	3.3%
G	1	1.6%

Space Separator

Value	Count	Frequency (%)
	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	476	98.6%
Common	7	1.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	47	9.9%
e	38	8.0%
r	38	8.0%
a	36	7.6%
o	34	7.1%
i	32	6.7%
c	31	6.5%
n	29	6.1%
S	25	5.3%
m	24	5.0%
Other values (15)	142	29.8%

Common

Value	Count	Frequency (%)
	7	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	483	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	47	9.7%
e	38	7.9%
r	38	7.9%
a	36	7.5%
o	34	7.0%
i	32	6.6%
c	31	6.4%
n	29	6.0%
S	25	5.2%
m	24	5.0%
Other values (16)	149	30.8%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	18.5%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

Norwegian	17
English	16
Chinese	6
Korean	4
Russian	3
Other values (5)	8

Length

Max length	9
Median length	8
Mean length	7.444444444
Min length	4

Characters and Unicode

Total characters	402
Distinct characters	27
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	5.6%

Sample

1st row	Korean
2nd row	Russian
3rd row	Chinese
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
Norwegian	17	31.5%
English	16	29.6%
Chinese	6	11.1%
Korean	4	7.4%
Russian	3	5.6%
Japanese	3	5.6%
Thai	2	3.7%
Dutch	1	1.9%
Panjabi	1	1.9%
Arabic	1	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
norwegian	17	31.5%
english	16	29.6%
chinese	6	11.1%
korean	4	7.4%
russian	3	5.6%
japanese	3	5.6%
thai	2	3.7%
dutch	1	1.9%
panjabi	1	1.9%
arabic	1	1.9%

Most occurring characters

Value	Count	Frequency (%)
n	50	12.4%
i	46	11.4%
e	39	9.7%
a	35	8.7%
g	33	8.2%
s	31	7.7%
h	25	6.2%
r	22	5.5%
o	21	5.2%
N	17	4.2%
Other values (17)	83	20.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	348	86.6%
Uppercase Letter	54	13.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	50	14.4%
i	46	13.2%
e	39	11.2%
a	35	10.1%
g	33	9.5%
s	31	8.9%
h	25	7.2%
r	22	6.3%
o	21	6.0%
w	17	4.9%
Other values (7)	29	8.3%

Uppercase Letter

Value	Count	Frequency (%)
N	17	31.5%
E	16	29.6%
C	6	11.1%
K	4	7.4%
R	3	5.6%
J	3	5.6%
T	2	3.7%
D	1	1.9%
P	1	1.9%
A	1	1.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	402	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	50	12.4%
i	46	11.4%
e	39	9.7%
a	35	8.7%
g	33	8.2%
s	31	7.7%
h	25	6.2%
r	22	5.5%
o	21	5.2%
N	17	4.2%
Other values (17)	83	20.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	402	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	50	12.4%
i	46	11.4%
e	39	9.7%
a	35	8.7%
g	33	8.2%
s	31	7.7%
h	25	6.2%
r	22	5.5%
o	21	5.2%
N	17	4.2%
Other values (17)	83	20.6%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	24
Distinct (%)	44.4%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

[]	25
['Comedy']	3
['Family', 'Sports']	2
['Music']	2
['Drama', 'Romance', 'History']	2
Other values (19)	20

Length

Max length	51
Median length	43
Mean length	13.37037037
Min length	2

Characters and Unicode

Total characters	722
Distinct characters	33
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	33.3%

Sample

1st row	[]
2nd row	[]
3rd row	['Action', 'Adventure', 'Anime', 'Fantasy']
4th row	['Drama', 'Anime', 'Fantasy', 'Romance']
5th row	['Drama', 'Romance', 'History']

Common Values

Value	Count	Frequency (%)
[]	25	46.3%
['Comedy']	3	5.6%
['Family', 'Sports']	2	3.7%
['Music']	2	3.7%
['Drama', 'Romance', 'History']	2	3.7%
['Drama', 'Horror', 'Thriller']	2	3.7%
['Drama', 'Anime', 'Fantasy', 'Romance']	1	1.9%
['Food']	1	1.9%
['Action', 'Adventure', 'Fantasy']	1	1.9%
['Comedy', 'Anime', 'Science-Fiction']	1	1.9%
Other values (14)	14	25.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	25	27.8%
drama	10	11.1%
comedy	8	8.9%
romance	5	5.6%
horror	4	4.4%
anime	4	4.4%
music	4	4.4%
history	3	3.3%
sports	3	3.3%
family	3	3.3%
Other values (10)	21	23.3%

Most occurring characters

Value	Count	Frequency (%)
'	130	18.0%
[	54	7.5%
]	54	7.5%
r	41	5.7%
a	37	5.1%
	36	5.0%
o	36	5.0%
,	36	5.0%
e	34	4.7%
m	30	4.2%
Other values (23)	234	32.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	343	47.5%
Other Punctuation	166	23.0%
Uppercase Letter	67	9.3%
Open Punctuation	54	7.5%
Close Punctuation	54	7.5%
Space Separator	36	5.0%
Dash Punctuation	2	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	41	12.0%
a	37	10.8%
o	36	10.5%
e	34	9.9%
m	30	8.7%
i	27	7.9%
n	24	7.0%
y	19	5.5%
c	18	5.2%
t	18	5.2%
Other values (7)	59	17.2%

Uppercase Letter

Value	Count	Frequency (%)
D	10	14.9%
A	10	14.9%
F	10	14.9%
C	10	14.9%
H	7	10.4%
M	5	7.5%
R	5	7.5%
S	5	7.5%
T	4	6.0%
W	1	1.5%

Other Punctuation

Value	Count	Frequency (%)
'	130	78.3%
,	36	21.7%

Open Punctuation

Value	Count	Frequency (%)
[	54	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	54	100.0%

Space Separator

Value	Count	Frequency (%)
	36	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	410	56.8%
Common	312	43.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	41	10.0%
a	37	9.0%
o	36	8.8%
e	34	8.3%
m	30	7.3%
i	27	6.6%
n	24	5.9%
y	19	4.6%
c	18	4.4%
t	18	4.4%
Other values (17)	126	30.7%

Common

Value	Count	Frequency (%)
'	130	41.7%
[	54	17.3%
]	54	17.3%
	36	11.5%
,	36	11.5%
-	2	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	722	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	130	18.0%
[	54	7.5%
]	54	7.5%
r	41	5.7%
a	37	5.1%
	36	5.0%
o	36	5.0%
,	36	5.0%
e	34	4.7%
m	30	4.2%
Other values (23)	234	32.4%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

Running	27
To Be Determined	15
Ended	12

Length

Max length	16
Median length	11.5
Mean length	9.055555556
Min length	5

Characters and Unicode

Total characters	489
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Running
3rd row	Running
4th row	Running
5th row	Ended

Common Values

Value	Count	Frequency (%)
Running	27	50.0%
To Be Determined	15	27.8%
Ended	12	22.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	27	32.1%
to	15	17.9%
be	15	17.9%
determined	15	17.9%
ended	12	14.3%

Most occurring characters

Value	Count	Frequency (%)
n	108	22.1%
e	72	14.7%
i	42	8.6%
d	39	8.0%
	30	6.1%
R	27	5.5%
u	27	5.5%
g	27	5.5%
T	15	3.1%
o	15	3.1%
Other values (6)	87	17.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	375	76.7%
Uppercase Letter	84	17.2%
Space Separator	30	6.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	108	28.8%
e	72	19.2%
i	42	11.2%
d	39	10.4%
u	27	7.2%
g	27	7.2%
o	15	4.0%
t	15	4.0%
r	15	4.0%
m	15	4.0%

Uppercase Letter

Value	Count	Frequency (%)
R	27	32.1%
T	15	17.9%
B	15	17.9%
D	15	17.9%
E	12	14.3%

Space Separator

Value	Count	Frequency (%)
	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	459	93.9%
Common	30	6.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	108	23.5%
e	72	15.7%
i	42	9.2%
d	39	8.5%
R	27	5.9%
u	27	5.9%
g	27	5.9%
T	15	3.3%
o	15	3.3%
B	15	3.3%
Other values (5)	72	15.7%

Common

Value	Count	Frequency (%)
	30	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	489	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	108	22.1%
e	72	14.7%
i	42	8.6%
d	39	8.0%
	30	6.1%
R	27	5.5%
u	27	5.5%
g	27	5.5%
T	15	3.1%
o	15	3.1%
Other values (6)	87	17.8%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	15
Distinct (%)	50.0%
Missing	24
Missing (%)	44.4%
Infinite	0
Infinite (%)	0.0%
Mean	47.8

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	560.0 B

Quantile statistics

Minimum	2
5-th percentile	3.9
Q1	20
median	30
Q3	56.25
95-th percentile	120
Maximum	300
Range	298
Interquartile range (IQR)	36.25

Descriptive statistics

Standard deviation	58.24466825
Coefficient of variation (CV)	1.218507704
Kurtosis	11.96444036
Mean	47.8
Median Absolute Deviation (MAD)	15
Skewness	3.11770002
Sum	1434
Variance	3392.441379
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
30	5	9.3%
20	4	7.4%
45	3	5.6%
120	3	5.6%
60	3	5.6%
25	2	3.7%
15	2	3.7%
16	1	1.9%
9	1	1.9%
300	1	1.9%
Other values (5)	5	9.3%
(Missing)	24	44.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.9%
3	1	1.9%
5	1	1.9%
9	1	1.9%
15	2	3.7%
16	1	1.9%
20	4	7.4%
24	1	1.9%
25	2	3.7%
30	5	9.3%

Value	Count	Frequency (%)
300	1	1.9%
120	3	5.6%
90	1	1.9%
60	3	5.6%
45	3	5.6%
30	5	9.3%
25	2	3.7%
24	1	1.9%
20	4	7.4%
16	1	1.9%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	57.1%
Missing	5
Missing (%)	9.3%
Infinite	0
Infinite (%)	0.0%
Mean	37.79591837

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	560.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	5
median	21
Q3	47
95-th percentile	116.2
Maximum	300
Range	298
Interquartile range (IQR)	42

Descriptive statistics

Standard deviation	52.18515897
Coefficient of variation (CV)	1.38070885
Kurtosis	13.90709078
Mean	37.79591837
Median Absolute Deviation (MAD)	16
Skewness	3.376741438
Sum	1852
Variance	2723.290816
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
5	11	20.4%
30	4	7.4%
51	2	3.7%
20	2	3.7%
25	2	3.7%
45	2	3.7%
47	2	3.7%
17	2	3.7%
21	2	3.7%
9	2	3.7%
Other values (18)	18	33.3%
(Missing)	5	9.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.9%
3	1	1.9%
5	11	20.4%
9	2	3.7%
10	1	1.9%
13	1	1.9%
15	1	1.9%
16	1	1.9%
17	2	3.7%
20	2	3.7%

Value	Count	Frequency (%)
300	1	1.9%
190	1	1.9%
129	1	1.9%
97	1	1.9%
88	1	1.9%
74	1	1.9%
60	1	1.9%
58	1	1.9%
56	1	1.9%
51	2	3.7%

_embedded_show_premiered
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	36
Distinct (%)	66.7%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

2020-12-05	13
2020-10-24	2
2020-11-14	2
2020-11-19	2
2016-03-17	2
Other values (31)	33

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	540
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	29 ?
Unique (%)	53.7%

Sample

1st row	2019-03-25
2nd row	2015-02-13
3rd row	2018-01-13
4th row	2020-10-31
5th row	2020-11-19

Common Values

Value	Count	Frequency (%)
2020-12-05	13	24.1%
2020-10-24	2	3.7%
2020-11-14	2	3.7%
2020-11-19	2	3.7%
2016-03-17	2	3.7%
2020-11-07	2	3.7%
2020-10-03	2	3.7%
2019-03-25	1	1.9%
2019-09-01	1	1.9%
2018-09-15	1	1.9%
Other values (26)	26	48.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-05	13	24.1%
2020-11-14	2	3.7%
2020-11-19	2	3.7%
2016-03-17	2	3.7%
2020-11-07	2	3.7%
2020-10-03	2	3.7%
2020-10-24	2	3.7%
2009-12-19	1	1.9%
2017-10-17	1	1.9%
2012-01-02	1	1.9%
Other values (26)	26	48.1%

Most occurring characters

Value	Count	Frequency (%)
0	143	26.5%
2	113	20.9%
-	108	20.0%
1	94	17.4%
5	19	3.5%
9	18	3.3%
3	12	2.2%
7	12	2.2%
6	8	1.5%
4	7	1.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	432	80.0%
Dash Punctuation	108	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	143	33.1%
2	113	26.2%
1	94	21.8%
5	19	4.4%
9	18	4.2%
3	12	2.8%
7	12	2.8%
6	8	1.9%
4	7	1.6%
8	6	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	108	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	540	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	143	26.5%
2	113	20.9%
-	108	20.0%
1	94	17.4%
5	19	3.5%
9	18	3.3%
3	12	2.2%
7	12	2.2%
6	8	1.5%
4	7	1.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	540	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	143	26.5%
2	113	20.9%
-	108	20.0%
1	94	17.4%
5	19	3.5%
9	18	3.3%
3	12	2.2%
7	12	2.2%
6	8	1.5%
4	7	1.3%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	16.7%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

nan	42
2020-12-19	3
2021-01-04	2
2020-12-26	2
2020-12-24	1
Other values (4)	4

Length

Max length	10
Median length	3
Mean length	4.555555556
Min length	3

Characters and Unicode

Total characters	246
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	9.3%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	2021-01-04

Common Values

Value	Count	Frequency (%)
nan	42	77.8%
2020-12-19	3	5.6%
2021-01-04	2	3.7%
2020-12-26	2	3.7%
2020-12-24	1	1.9%
2020-12-05	1	1.9%
2021-01-02	1	1.9%
2021-06-26	1	1.9%
2021-01-09	1	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	42	77.8%
2020-12-19	3	5.6%
2021-01-04	2	3.7%
2020-12-26	2	3.7%
2020-12-24	1	1.9%
2020-12-05	1	1.9%
2021-01-02	1	1.9%
2021-06-26	1	1.9%
2021-01-09	1	1.9%

Most occurring characters

Value	Count	Frequency (%)
n	84	34.1%
a	42	17.1%
2	36	14.6%
0	29	11.8%
-	24	9.8%
1	19	7.7%
9	4	1.6%
6	4	1.6%
4	3	1.2%
5	1	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	126	51.2%
Decimal Number	96	39.0%
Dash Punctuation	24	9.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	36	37.5%
0	29	30.2%
1	19	19.8%
9	4	4.2%
6	4	4.2%
4	3	3.1%
5	1	1.0%

Lowercase Letter

Value	Count	Frequency (%)
n	84	66.7%
a	42	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	24	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	126	51.2%
Common	120	48.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	36	30.0%
0	29	24.2%
-	24	20.0%
1	19	15.8%
9	4	3.3%
6	4	3.3%
4	3	2.5%
5	1	0.8%

Latin

Value	Count	Frequency (%)
n	84	66.7%
a	42	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	246	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	84	34.1%
a	42	17.1%
2	36	14.6%
0	29	11.8%
-	24	9.8%
1	19	7.7%
9	4	1.6%
6	4	1.6%
4	3	1.2%
5	1	0.4%

_embedded_show_officialSite
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	41
Distinct (%)	75.9%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

https://tv.nrk.no/serie/oteren-svenn	10
https://www.iqiyi.com/lib/m_213579814.html	2
https://tv.nrk.no/serie/team-ingebrigtsen	2
https://www.netflix.com/title/81329144	2
nan	2
Other values (36)	36

Length

Max length	102
Median length	72
Mean length	43.14814815
Min length	3

Characters and Unicode

Total characters	2330
Distinct characters	70
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	66.7%

Sample

1st row	https://www.vlive.tv/video/121637
2nd row	http://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html
3rd row	https://v.qq.com/detail/m/m441e3rjq9kwpsc.html
4th row	https://www.bilibili.com/tgcf
5th row	https://www.iqiyi.com/lib/m_213579814.html

Common Values

Value	Count	Frequency (%)
https://tv.nrk.no/serie/oteren-svenn	10	18.5%
https://www.iqiyi.com/lib/m_213579814.html	2	3.7%
https://tv.nrk.no/serie/team-ingebrigtsen	2	3.7%
https://www.netflix.com/title/81329144	2	3.7%
nan	2	3.7%
https://www.vlive.tv/video/121637	1	1.9%
https://roosterteeth.com/series/rwby	1	1.9%
https://www.discoveryplus.com/show/tregayes-way-in-the-kitchen	1	1.9%
https://m.youtube.com/playlist?list=PLzpGYTdIrMWnRdP7POYwV4Nt-WncCRKwB	1	1.9%
https://www.youtube.com/playlist?list=PLvahqwMqN4M2o2ZzY6Y8a626Lf286LdVl	1	1.9%
Other values (31)	31	57.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://tv.nrk.no/serie/oteren-svenn	10	18.5%
https://tv.nrk.no/serie/team-ingebrigtsen	2	3.7%
https://www.netflix.com/title/81329144	2	3.7%
nan	2	3.7%
https://www.iqiyi.com/lib/m_213579814.html	2	3.7%
https://tv.kakao.com/channel/3658620/cliplink/415324903?metaobjecttype=channel	1	1.9%
https://v.qq.com/detail/m/m441e3rjq9kwpsc.html	1	1.9%
https://www.bilibili.com/tgcf	1	1.9%
https://tv.nrk.no/serie/klassen	1	1.9%
https://tv.nrk.no/serie/stjernestoev	1	1.9%
Other values (31)	31	57.4%

Most occurring characters

Value	Count	Frequency (%)
t	212	9.1%
/	204	8.8%
e	158	6.8%
s	141	6.1%
o	111	4.8%
n	110	4.7%
.	105	4.5%
i	92	3.9%
w	92	3.9%
r	91	3.9%
Other values (60)	1014	43.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1671	71.7%
Other Punctuation	376	16.1%
Decimal Number	139	6.0%
Uppercase Letter	89	3.8%
Dash Punctuation	39	1.7%
Math Symbol	9	0.4%
Connector Punctuation	7	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	212	12.7%
e	158	9.5%
s	141	8.4%
o	111	6.6%
n	110	6.6%
i	92	5.5%
w	92	5.5%
r	91	5.4%
h	85	5.1%
p	83	5.0%
Other values (16)	496	29.7%

Uppercase Letter

Value	Count	Frequency (%)
P	11	12.4%
L	6	6.7%
W	6	6.7%
C	5	5.6%
A	5	5.6%
M	5	5.6%
T	5	5.6%
Y	5	5.6%
B	4	4.5%
V	4	4.5%
Other values (15)	33	37.1%

Decimal Number

Value	Count	Frequency (%)
1	20	14.4%
4	20	14.4%
2	18	12.9%
0	16	11.5%
3	15	10.8%
8	13	9.4%
6	10	7.2%
9	9	6.5%
7	9	6.5%
5	9	6.5%

Other Punctuation

Value	Count	Frequency (%)
/	204	54.3%
.	105	27.9%
:	52	13.8%
?	6	1.6%
%	6	1.6%
&	3	0.8%

Dash Punctuation

Value	Count	Frequency (%)
-	39	100.0%

Math Symbol

Value	Count	Frequency (%)
=	9	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1760	75.5%
Common	570	24.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	212	12.0%
e	158	9.0%
s	141	8.0%
o	111	6.3%
n	110	6.2%
i	92	5.2%
w	92	5.2%
r	91	5.2%
h	85	4.8%
p	83	4.7%
Other values (41)	585	33.2%

Common

Value	Count	Frequency (%)
/	204	35.8%
.	105	18.4%
:	52	9.1%
-	39	6.8%
1	20	3.5%
4	20	3.5%
2	18	3.2%
0	16	2.8%
3	15	2.6%
8	13	2.3%
Other values (9)	68	11.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2330	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	212	9.1%
/	204	8.8%
e	158	6.8%
s	141	6.1%
o	111	4.8%
n	110	4.7%
.	105	4.5%
i	92	3.9%
w	92	3.9%
r	91	3.9%
Other values (60)	1014	43.5%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	30
Distinct (%)	55.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.38888889

Minimum	0
Maximum	93
Zeros	1
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	560.0 B

Quantile statistics

Minimum	0
5-th percentile	2.3
Q1	7
median	22.5
Q3	41.5
95-th percentile	80.75
Maximum	93
Range	93
Interquartile range (IQR)	34.5

Descriptive statistics

Standard deviation	24.93570348
Coefficient of variation (CV)	0.8484738425
Kurtosis	0.08361043262
Mean	29.38888889
Median Absolute Deviation (MAD)	15.5
Skewness	0.9804981035
Sum	1587
Variance	621.7893082
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
7	11	20.4%
24	3	5.6%
39	3	5.6%
19	3	5.6%
71	2	3.7%
54	2	3.7%
28	2	3.7%
6	2	3.7%
18	2	3.7%
1	2	3.7%
Other values (20)	22	40.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	1.9%
1	2	3.7%
3	1	1.9%
6	2	3.7%
7	11	20.4%
10	1	1.9%
18	2	3.7%
19	3	5.6%
20	1	1.9%
21	2	3.7%

Value	Count	Frequency (%)
93	1	1.9%
89	1	1.9%
84	1	1.9%
79	1	1.9%
71	2	3.7%
61	1	1.9%
60	1	1.9%
57	1	1.9%
54	2	3.7%
52	1	1.9%

_embedded_show_dvdCountry
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

nan	54

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	162
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	54	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	54	100.0%

Most occurring characters

Value	Count	Frequency (%)
n	108	66.7%
a	54	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	162	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	108	66.7%
a	54	33.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	162	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	108	66.7%
a	54	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	162	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	108	66.7%
a	54	33.3%

_embedded_show_summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	41
Distinct (%)	75.9%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

<p>A small otter cub moves under the terrace of the Veie-Rosvoll family. It is named Svenn and quickly becomes a good friend.</p>	10
<p><b>Detention</b> starts at Greenwood High School in the 1990s. Yunxiang Liu, a transfer student, steps into the forbidden area on the campus by accident, where she encounters the ghost of Ruixin Fang. Fang later unveils the hidden history and trauma over the past 30 years, and how a group of young students and teachers were persecuted as they fought for freedom in the era of censorship. Their stories keep coming back to the school like haunting nightmares, waiting to be told and revealed. </p>	2
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	2
<p>A documentary series about the running family Ingebrigtsen.</p>	2
nan	2
Other values (36)	36

Length

Max length	1129
Median length	445.5
Mean length	318.8148148
Min length	3

Characters and Unicode

Total characters	17216
Distinct characters	80
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	36 ?
Unique (%)	66.7%

Sample

1st row	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row	<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>
3rd row	<p>Tang San spent his life in the Tang Outer Sect, dedicated to the creation and mastery of hidden weapons. Once he stole the secret lore of the Inner Sect to reach the pinnacle of his art, his only way out was death. But after throwing himself off the deadly Hell's Peak he was reborn in a different world, the world of Douluo Dalu, a world where every person has a spirit of their own, and those with powerful spirits can practice their spirit power to rise and become Spirit Masters.<br /><br />The spirit that awakens within Tang San is Blue Silver Grass, a useless spirit. Can he overcome the difficulties to reach the high ranks of Spirit Masters and bring the glory of the Tang Sect into this new world?</p>
4th row	<p>"Have you heard? The rubbish Heaven Official is having an affair with the ghost realm's number one bigshot!"</p><p>Eight hundred years ago, Xie Lian was the Crown Prince of the Xian Le kingdom; one who was beloved by his citizens and the darling of the world. Unsurprisingly, he ascended to the Heavens at a very young age. Now, eight hundred years later, Xie Lian ascends to the Heavens for the third time as the laughing stock of all three realms. On his first task as a god, he meets a mysterious demon who rules the ghosts and terrifies the Heavens... yet unbeknownst to Xie Lian, this demon king has been paying attention to him for a very, very long time.</p>
5th row	<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>

Common Values

Value	Count	Frequency (%)
<p>A small otter cub moves under the terrace of the Veie-Rosvoll family. It is named Svenn and quickly becomes a good friend.</p>	10	18.5%
<p><b>Detention</b> starts at Greenwood High School in the 1990s. Yunxiang Liu, a transfer student, steps into the forbidden area on the campus by accident, where she encounters the ghost of Ruixin Fang. Fang later unveils the hidden history and trauma over the past 30 years, and how a group of young students and teachers were persecuted as they fought for freedom in the era of censorship. Their stories keep coming back to the school like haunting nightmares, waiting to be told and revealed. </p>	2	3.7%
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	2	3.7%
<p>A documentary series about the running family Ingebrigtsen.</p>	2	3.7%
nan	2	3.7%
<p>The future-fantasy world of Remnant is filled with ravenous monsters, treacherous terrain, and more villains than you can shake a sniper-scythe at. Fortunately, Beacon Academy is training Huntsman and Huntresses to battle the evils of the world, and Ruby, Weiss, Blake, and Yang are ready for their first day of class.</p>	1	1.9%
<p>Atlanta-based chef and caterer Tregaye Fraser packs flavor and personality into every recipe, sharing her food with the ones she loves -- family, friends and her two growing boys.</p>	1	1.9%
<p>The web series revolves around the life of university students.</p>	1	1.9%
<p><b>I Like to Watch</b> is a 2019 American web series hosted by drag queens Trixie Mattel and Katya Zamolodchikova. The series was created by Fran Tirado, produced by Netflix, and streams on the network's YouTube channel. Produced in a similar format to Mattel and Zamolodchikova's web series <i>UNHhhh</i> and <i>The Trixie & Katya Show</i>, <i>I Like to Watch</i> follows its hosts as they view and react to various Netflix Original Programming.</p>	1	1.9%
<p>FUN EDUCATIONAL videos for children! Kids will learn colors, learn shapes, learn numbers, learn letters, the alphabet, abc's and so much more with Blippi's nursery rhymes, educational songs, and educational videos! Blippi ties in things children love like Backhoes, Tractors, Planes, Trains, Animals, Boats, Unicorns, Construction Equipment, Firetrucks, Horses, and the list goes on! Incorporating cartoons and animation with real life footage!</p>	1	1.9%
Other values (31)	31	57.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	193	6.8%
and	115	4.1%
of	78	2.7%
a	75	2.6%
to	59	2.1%
in	44	1.6%
is	40	1.4%
as	26	0.9%
for	26	0.9%
on	24	0.8%
Other values (1136)	2157	76.0%

Most occurring characters

Value	Count	Frequency (%)
	2777	16.1%
e	1596	9.3%
t	1094	6.4%
a	1058	6.1%
i	952	5.5%
o	949	5.5%
n	932	5.4%
s	876	5.1%
r	799	4.6%
h	655	3.8%
Other values (70)	5528	32.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	12884	74.8%
Space Separator	2786	16.2%
Uppercase Letter	639	3.7%
Other Punctuation	467	2.7%
Math Symbol	348	2.0%
Dash Punctuation	41	0.2%
Decimal Number	32	0.2%
Open Punctuation	9	0.1%
Close Punctuation	9	0.1%
Initial Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1596	12.4%
t	1094	8.5%
a	1058	8.2%
i	952	7.4%
o	949	7.4%
n	932	7.2%
s	876	6.8%
r	799	6.2%
h	655	5.1%
l	517	4.0%
Other values (17)	3456	26.8%

Uppercase Letter

Value	Count	Frequency (%)
T	68	10.6%
S	53	8.3%
I	41	6.4%
A	39	6.1%
C	36	5.6%
L	34	5.3%
F	34	5.3%
H	31	4.9%
W	31	4.9%
R	25	3.9%
Other values (16)	247	38.7%

Other Punctuation

Value	Count	Frequency (%)
,	160	34.3%
.	139	29.8%
/	89	19.1%
'	34	7.3%
!	17	3.6%
"	14	3.0%
:	4	0.9%
?	4	0.9%
…	3	0.6%
;	2	0.4%

Decimal Number

Value	Count	Frequency (%)
9	10	31.2%
0	7	21.9%
1	6	18.8%
3	4	12.5%
2	3	9.4%
4	1	3.1%
7	1	3.1%

Space Separator

Value	Count	Frequency (%)
	2777	99.7%
	9	0.3%

Math Symbol

Value	Count	Frequency (%)
>	174	50.0%
<	174	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	34	82.9%
—	7	17.1%

Open Punctuation

Value	Count	Frequency (%)
(	9	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	9	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13523	78.5%
Common	3693	21.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1596	11.8%
t	1094	8.1%
a	1058	7.8%
i	952	7.0%
o	949	7.0%
n	932	6.9%
s	876	6.5%
r	799	5.9%
h	655	4.8%
l	517	3.8%
Other values (43)	4095	30.3%

Common

Value	Count	Frequency (%)
	2777	75.2%
>	174	4.7%
<	174	4.7%
,	160	4.3%
.	139	3.8%
/	89	2.4%
'	34	0.9%
-	34	0.9%
!	17	0.5%
"	14	0.4%
Other values (17)	81	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17195	99.9%
Punctuation	11	0.1%
None	10	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2777	16.2%
e	1596	9.3%
t	1094	6.4%
a	1058	6.2%
i	952	5.5%
o	949	5.5%
n	932	5.4%
s	876	5.1%
r	799	4.6%
h	655	3.8%
Other values (65)	5507	32.0%

None

Value	Count	Frequency (%)
	9	90.0%
æ	1	10.0%

Punctuation

Value	Count	Frequency (%)
—	7	63.6%
…	3	27.3%
‘	1	9.1%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	42
Distinct (%)	77.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1635696534

Minimum	1607104092
Maximum	1652080636
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	560.0 B

Quantile statistics

Minimum	1607104092
5-th percentile	1609702620
Q1	1629906651
median	1637055394
Q3	1646518966
95-th percentile	1651384791
Maximum	1652080636
Range	44976544
Interquartile range (IQR)	16612315.5

Descriptive statistics

Standard deviation	12835608.25
Coefficient of variation (CV)	0.007847181906
Kurtosis	-0.2888947175
Mean	1635696534
Median Absolute Deviation (MAD)	8525195
Skewness	-0.6521393897
Sum	8.832761284 × 10¹⁰
Variance	1.64752839 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
1629906651	10	18.5%
1648217029	2	3.7%
1640381442	2	3.7%
1609887201	2	3.7%
1608499007	1	1.9%
1649792655	1	1.9%
1623829675	1	1.9%
1624646954	1	1.9%
1652029414	1	1.9%
1646488908	1	1.9%
Other values (32)	32	59.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1607104092	1	1.9%
1608499007	1	1.9%
1609359827	1	1.9%
1609887201	2	3.7%
1611436842	1	1.9%
1623829529	1	1.9%
1623829675	1	1.9%
1624646954	1	1.9%
1625435290	1	1.9%
1627511198	1	1.9%

Value	Count	Frequency (%)
1652080636	1	1.9%
1652029414	1	1.9%
1651762044	1	1.9%
1651181655	1	1.9%
1650983676	1	1.9%
1650908800	1	1.9%
1650860272	1	1.9%
1650711849	1	1.9%
1650016918	1	1.9%
1649792655	1	1.9%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	54
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	560.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2008312	1
https://api.tvmaze.com/episodes/2090655	1
https://api.tvmaze.com/episodes/2169203	1
https://api.tvmaze.com/episodes/2312223	1
Other values (49)	49

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	2106
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.9%
https://api.tvmaze.com/episodes/2008312	1	1.9%
https://api.tvmaze.com/episodes/2090655	1	1.9%
https://api.tvmaze.com/episodes/2169203	1	1.9%
https://api.tvmaze.com/episodes/2312223	1	1.9%
https://api.tvmaze.com/episodes/2312224	1	1.9%
https://api.tvmaze.com/episodes/2312225	1	1.9%
https://api.tvmaze.com/episodes/2312226	1	1.9%
https://api.tvmaze.com/episodes/2312227	1	1.9%
https://api.tvmaze.com/episodes/2312228	1	1.9%
Other values (44)	44	81.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.9%
https://api.tvmaze.com/episodes/2324432	1	1.9%
https://api.tvmaze.com/episodes/2005762	1	1.9%
https://api.tvmaze.com/episodes/1964000	1	1.9%
https://api.tvmaze.com/episodes/1995405	1	1.9%
https://api.tvmaze.com/episodes/2007760	1	1.9%
https://api.tvmaze.com/episodes/1985789	1	1.9%
https://api.tvmaze.com/episodes/2039622	1	1.9%
https://api.tvmaze.com/episodes/2039623	1	1.9%
https://api.tvmaze.com/episodes/2324427	1	1.9%
Other values (44)	44	81.5%

Most occurring characters

Value	Count	Frequency (%)
/	216	10.3%
t	162	7.7%
p	162	7.7%
s	162	7.7%
e	162	7.7%
a	108	5.1%
i	108	5.1%
.	108	5.1%
m	108	5.1%
o	108	5.1%
Other values (16)	702	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1350	64.1%
Other Punctuation	378	17.9%
Decimal Number	378	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	162	12.0%
p	162	12.0%
s	162	12.0%
e	162	12.0%
a	108	8.0%
i	108	8.0%
m	108	8.0%
o	108	8.0%
h	54	4.0%
d	54	4.0%
Other values (3)	162	12.0%

Decimal Number

Value	Count	Frequency (%)
2	82	21.7%
9	52	13.8%
1	44	11.6%
0	43	11.4%
3	30	7.9%
8	27	7.1%
4	27	7.1%
7	26	6.9%
6	24	6.3%
5	23	6.1%

Other Punctuation

Value	Count	Frequency (%)
/	216	57.1%
.	108	28.6%
:	54	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1350	64.1%
Common	756	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	216	28.6%
.	108	14.3%
2	82	10.8%
:	54	7.1%
9	52	6.9%
1	44	5.8%
0	43	5.7%
3	30	4.0%
8	27	3.6%
4	27	3.6%
Other values (3)	73	9.7%

Latin

Value	Count	Frequency (%)
t	162	12.0%
p	162	12.0%
s	162	12.0%
e	162	12.0%
a	108	8.0%
i	108	8.0%
m	108	8.0%
o	108	8.0%
h	54	4.0%
d	54	4.0%
Other values (3)	162	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2106	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	216	10.3%
t	162	7.7%
p	162	7.7%
s	162	7.7%
e	162	7.7%
a	108	5.1%
i	108	5.1%
.	108	5.1%
m	108	5.1%
o	108	5.1%
Other values (16)	702	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1979826	https://www.tvmaze.com/episodes/1979826/sim-for-you-4x18-chanyeols-episode-18	Chanyeol's Episode 18	4.0	18.0	regular	2020-12-05	06:00	2020-12-04T21:00:00+00:00	16.0	None	<p><b>#DangerQuest #AbleToFly(?) #EntranceOfAWindSkill</b></p>	41648	https://www.tvmaze.com/shows/41648/sim-for-you	Sim for You	Reality	Korean	[]	Running	16.0	16.0	2019-03-25	nan	https://www.vlive.tv/video/121637	71.0	nan	<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>	1.608499e+09	https://api.tvmaze.com/episodes/1977902
1	1968112	https://www.tvmaze.com/episodes/1968112/po-sezonu-videodajdzest-seasonvar-6x49-vypusk-303	Выпуск 303	6.0	49.0	regular	2020-12-05	nan	2020-12-05T00:00:00+00:00	8.0	None	nan	7847	https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar	По сезону. Видеодайджест Seasonvar	Talk Show	Russian	[]	Running	9.0	9.0	2015-02-13	nan	http://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html	28.0	nan	<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>	1.651182e+09	https://api.tvmaze.com/episodes/2015818
2	1980956	https://www.tvmaze.com/episodes/1980956/soul-land-7x03-di133ji	第133集	7.0	3.0	regular	2020-12-05	10:00	2020-12-05T02:00:00+00:00	20.0	None	nan	35551	https://www.tvmaze.com/shows/35551/soul-land	Soul Land	Animation	Chinese	['Action', 'Adventure', 'Anime', 'Fantasy']	Running	20.0	20.0	2018-01-13	nan	https://v.qq.com/detail/m/m441e3rjq9kwpsc.html	89.0	nan	<p>Tang San spent his life in the Tang Outer Sect, dedicated to the creation and mastery of hidden weapons. Once he stole the secret lore of the Inner Sect to reach the pinnacle of his art, his only way out was death. But after throwing himself off the deadly Hell's Peak he was reborn in a different world, the world of Douluo Dalu, a world where every person has a spirit of their own, and those with powerful spirits can practice their spirit power to rise and become Spirit Masters.<br /><br />The spirit that awakens within Tang San is Blue Silver Grass, a useless spirit. Can he overcome the difficulties to reach the high ranks of Spirit Masters and bring the glory of the Tang Sect into this new world?</p>	1.643317e+09	https://api.tvmaze.com/episodes/1964000
3	1962056	https://www.tvmaze.com/episodes/1962056/heaven-officials-blessing-1x07-scorpion-tailed-snake-shadow	Scorpion-Tailed Snake Shadow	1.0	7.0	regular	2020-12-05	11:00	2020-12-05T03:00:00+00:00	25.0	None	nan	51670	https://www.tvmaze.com/shows/51670/heaven-officials-blessing	Heaven Official's Blessing	Animation	Chinese	['Drama', 'Anime', 'Fantasy', 'Romance']	Running	25.0	25.0	2020-10-31	nan	https://www.bilibili.com/tgcf	52.0	nan	<p>"Have you heard? The rubbish Heaven Official is having an affair with the ghost realm's number one bigshot!"</p><p>Eight hundred years ago, Xie Lian was the Crown Prince of the Xian Le kingdom; one who was beloved by his citizens and the darling of the world. Unsurprisingly, he ascended to the Heavens at a very young age. Now, eight hundred years later, Xie Lian ascends to the Heavens for the third time as the laughing stock of all three realms. On his first task as a god, he meets a mysterious demon who rules the ghosts and terrifies the Heavens... yet unbeknownst to Xie Lian, this demon king has been paying attention to him for a very, very long time.</p>	1.637712e+09	https://api.tvmaze.com/episodes/1995405
4	1972559	https://www.tvmaze.com/episodes/1972559/the-wolf-1x17-episode-17	Episode 17	1.0	17.0	regular	2020-12-05	nan	2020-12-05T04:00:00+00:00	45.0	None	nan	47912	https://www.tvmaze.com/shows/47912/the-wolf	The Wolf	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	45.0	45.0	2020-11-19	2021-01-04	https://www.iqiyi.com/lib/m_213579814.html	39.0	nan	<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	1.648217e+09	https://api.tvmaze.com/episodes/2007760
5	1972560	https://www.tvmaze.com/episodes/1972560/the-wolf-1x18-episode-18	Episode 18	1.0	18.0	regular	2020-12-05	nan	2020-12-05T04:00:00+00:00	45.0	None	nan	47912	https://www.tvmaze.com/shows/47912/the-wolf	The Wolf	Scripted	Chinese	['Drama', 'Romance', 'History']	Ended	45.0	45.0	2020-11-19	2021-01-04	https://www.iqiyi.com/lib/m_213579814.html	39.0	nan	<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	1.648217e+09	https://api.tvmaze.com/episodes/1985789
6	2113317	https://www.tvmaze.com/episodes/2113317/klassen-3x16-bursdagstyven	Bursdagstyven	3.0	16.0	regular	2020-12-05	05:00	2020-12-05T04:00:00+00:00	11.0	None	nan	55919	https://www.tvmaze.com/shows/55919/klassen	Klassen	Scripted	Norwegian	['Drama', 'Comedy', 'Children']	Running	NaN	10.0	2019-09-06	nan	https://tv.nrk.no/serie/klassen	57.0	nan	<p>Livet i klassen er som en berg- og dalbane av kjærlighet, vennskap og samhold.</p>	1.650712e+09	https://api.tvmaze.com/episodes/2039622
7	1969218	https://www.tvmaze.com/episodes/1969218/team-ingebrigtsen-4x01-episode-1	Episode 1	4.0	1.0	regular	2020-12-05	06:00	2020-12-05T05:00:00+00:00	52.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717768.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717768.jpg'}	nan	31894	https://www.tvmaze.com/shows/31894/team-ingebrigtsen	Team Ingebrigtsen	Documentary	Norwegian	['Family', 'Sports']	To Be Determined	NaN	47.0	2016-03-17	nan	https://tv.nrk.no/serie/team-ingebrigtsen	23.0	nan	<p>A documentary series about the running family Ingebrigtsen.</p>	1.640381e+09	https://api.tvmaze.com/episodes/2039623
8	1980944	https://www.tvmaze.com/episodes/1980944/team-ingebrigtsen-4x02-episode-2	Episode 2	4.0	2.0	regular	2020-12-05	06:00	2020-12-05T05:00:00+00:00	61.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717771.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717771.jpg'}	nan	31894	https://www.tvmaze.com/shows/31894/team-ingebrigtsen	Team Ingebrigtsen	Documentary	Norwegian	['Family', 'Sports']	To Be Determined	NaN	47.0	2016-03-17	nan	https://tv.nrk.no/serie/team-ingebrigtsen	23.0	nan	<p>A documentary series about the running family Ingebrigtsen.</p>	1.640381e+09	https://api.tvmaze.com/episodes/2324427
9	1977313	https://www.tvmaze.com/episodes/1977313/stjernestov-1x05-episode-5	Episode 5	1.0	5.0	regular	2020-12-05	06:00	2020-12-05T05:00:00+00:00	23.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/290/726339.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/290/726339.jpg'}	nan	50752	https://www.tvmaze.com/shows/50752/stjernestov	Stjernestøv	Scripted	Norwegian	['Drama', 'Children', 'Family']	Ended	20.0	20.0	2020-12-01	2020-12-24	https://tv.nrk.no/serie/stjernestoev	22.0	nan	<p>The parents get divorced and Jo has to move to a new place. One day, Nordstjerna goes out, and Jo discovers that a girl with magical powers lives in the attic.</p>	1.611437e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	image	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
44	1977381	https://www.tvmaze.com/episodes/1977381/rwby-8x05-amity	Amity	8.0	5.0	regular	2020-12-05	11:00	2020-12-05T16:00:00+00:00	15.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/717714.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/717714.jpg'}	<p>This is it. Their chance to tell the world the truth. Will their message be heard?</p>	4091	https://www.tvmaze.com/shows/4091/rwby	RWBY	Animation	English	['Action', 'Adventure', 'Anime', 'Science-Fiction']	Running	15.0	13.0	2013-07-18	nan	https://roosterteeth.com/series/rwby	84.0	nan	<p>The future-fantasy world of Remnant is filled with ravenous monsters, treacherous terrain, and more villains than you can shake a sniper-scythe at. Fortunately, Beacon Academy is training Huntsman and Huntresses to battle the evils of the world, and Ruby, Weiss, Blake, and Yang are ready for their first day of class.</p>	1.645408e+09	https://api.tvmaze.com/episodes/2037725
45	1961286	https://www.tvmaze.com/episodes/1961286/wwe-talking-smack-2020-12-05-december-5-2020	December 5, 2020	2020.0	16.0	regular	2020-12-05	nan	2020-12-05T17:00:00+00:00	30.0	None	nan	19667	https://www.tvmaze.com/shows/19667/wwe-talking-smack	WWE Talking Smack	Talk Show	English	['Sports']	Running	30.0	30.0	2016-08-02	nan	http://www.wwe.com/shows/wwe-talking-smack	71.0	nan	<p>On <b>WWE Talking Smack</b>, Renee Young catches up with your favorite SmackDown Superstars after "Smackdown Live" airs on the USA Network to hear their thoughts on all of that evening's action.</p>	1.648133e+09	https://api.tvmaze.com/episodes/1988424
46	2042786	https://www.tvmaze.com/episodes/2042786/ufc-fight-pass-prelims-2020-12-05-ufc-fight-night-197-hermansson-vs-vettori	UFC Fight Night 197: Hermansson vs. Vettori	2020.0	51.0	regular	2020-12-05	nan	2020-12-05T17:00:00+00:00	60.0	None	nan	25294	https://www.tvmaze.com/shows/25294/ufc-fight-pass-prelims	UFC Fight Pass Prelims	Sports	English	[]	Running	60.0	74.0	2017-01-15	nan	https://www.ufc.tv/page/fightpass	39.0	nan	<p>Televised undercard bouts from UFC Pay-Per-Views and UFC Fight Nights exclusively on UFC Fight Pass.</p>	1.646529e+09	https://api.tvmaze.com/episodes/1993940
47	1943279	https://www.tvmaze.com/episodes/1943279/rail-romanesque-1x10-blooming-fans	Blooming Fans	1.0	10.0	regular	2020-12-05	nan	2020-12-05T17:00:00+00:00	5.0	None	nan	50939	https://www.tvmaze.com/shows/50939/rail-romanesque	Rail Romanesque	Animation	Japanese	['Comedy', 'Anime', 'Science-Fiction']	Ended	5.0	5.0	2020-10-03	2020-12-19	https://railromanesque.jp	24.0	nan	<p>Set in Hinomoto, a fictional version of Japan, where for a long time railway travel served as the most important form of transport. Each locomotive was paired with a humanoid control module, so-called Raillord, that aided the train operator. However, many rail lines had been discontinued due to the rising popularity of "aerocrafts," a safe and convenient aerial mode of transport. As such, their accompanying railroads also went into a deep sleep. Soutetsu had lost his entire family in a rail accident and was adopted into the Migita household, which runs a shochu brewery in the city of Ohitoyo. He returned to his hometown to save it from the potential water pollution that would occur if they accepted the proposal to build an aerocraft factory nearby. He woke up the Raillord Hachiroku by accident and became her owner. For different purposes, they agreed to help find her lost locomotive, with the help of his stepsister Hibiki, the town's mayor and local railway chief, Paulette and others.</p>	1.645753e+09	https://api.tvmaze.com/episodes/2037532
48	2037518	https://www.tvmaze.com/episodes/2037518/lovely-bites-by-chef-lovely-1x04-throw-it-on-the-grill	Throw It on the Grill	1.0	4.0	regular	2020-12-05	nan	2020-12-05T17:00:00+00:00	25.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/329/823874.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/329/823874.jpg'}	<p>Chef Lovely plans the ultimate cookout with her Signature Burger, Mama's Potato Salad, Eberhart Street Corn with a Creamy Avocado Drizzle and Grilled Pound Cake with Cherries and Mascarpone. Plus, there's a Cherry Tarragon Limeade to wash it all down!</p>	53754	https://www.tvmaze.com/shows/53754/lovely-bites-by-chef-lovely	Lovely Bites by Chef Lovely	Reality	English	[]	Running	25.0	25.0	2020-11-14	nan	https://www.oprah.com/app/lovely-bites.html	19.0	nan	<p>Chef Connie "Lovely" Jackson brings the fun with recipes that are perfect for entertaining and celebrating festive occasions. <b>Lovely Bites</b> is produced for OWN by FishBowl Worldwide Media.</p>	1.623830e+09	https://api.tvmaze.com/episodes/2068252
49	1967067	https://www.tvmaze.com/episodes/1967067/maskorama-1x05-episode-5	Episode 5	1.0	5.0	regular	2020-12-05	19:50	2020-12-05T18:50:00+00:00	91.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/287/719058.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/287/719058.jpg'}	nan	51314	https://www.tvmaze.com/shows/51314/maskorama	Maskorama	Reality	Norwegian	['Music']	Running	90.0	88.0	2020-11-07	nan	https://tv.nrk.no/serie/maskorama	18.0	nan	<p>Based on the international hit "The Masked Singer", in <b>Maskorama </b>eight elebrities will face off against one another with a twist: each singer is using masks and costumes, the judges panel will have to guess which celebrity is behind the mask.</p>	1.640455e+09	https://api.tvmaze.com/episodes/1996820
50	1969219	https://www.tvmaze.com/episodes/1969219/eides-spraksjov-6x03-songar-fra-nyheitene	Songar frå nyheitene	6.0	3.0	regular	2020-12-05	21:55	2020-12-05T20:55:00+00:00	45.0	None	nan	51631	https://www.tvmaze.com/shows/51631/eides-spraksjov	Eides språksjov	Talk Show	Norwegian	['Comedy']	Running	NaN	43.0	2017-01-11	nan	https://tv.nrk.no/serie/eides-spraaksjov	3.0	nan	<p>Entertainment from here to the moon when Linda Eide and guests pay tribute and joke with language.</p>	1.650017e+09	https://api.tvmaze.com/episodes/1985251
51	1977712	https://www.tvmaze.com/episodes/1977712/onyx-equinox-1x03-thicker-than-water	Thicker Than Water	1.0	3.0	regular	2020-12-05	16:00	2020-12-05T21:00:00+00:00	24.0	None	<p>Izel heads to Ox Te'Tuun to retrieve an artifact containing the map to the gates. There, he meets twin Ulama ballplayers, as well as mysterious figure from his past. </p>	48922	https://www.tvmaze.com/shows/48922/onyx-equinox	Onyx Equinox	Animation	English	['Action', 'Adventure', 'Fantasy']	Ended	24.0	24.0	2020-11-21	2020-12-26	https://www.crunchyroll.com/onyx-equinox	46.0	nan	<p>A young Aztec boy is saved from death by the gods and chosen to act as ‘humanity's champion,' forced to discard his apathy toward his fellow man and prove humanity's potential in a fight that spans across fantastical-yet-authentic Mesoamerican cultures.</p>	1.609360e+09	https://api.tvmaze.com/episodes/2017664
52	2153702	https://www.tvmaze.com/episodes/2153702/field-trip-with-curtis-stone-2x06-hawaii	Hawai'i	2.0	6.0	regular	2020-12-05	19:30	2020-12-06T00:30:00+00:00	30.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/350/877095.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/350/877095.jpg'}	<p>Curtis dives with competitive spearfisherman Justin Lee and tours the Berkshire pig farm run by his brother, Brandon. Later, Curtis is introduced to the tradition of Paniolos - Hawaiian cowboys.</p>	44334	https://www.tvmaze.com/shows/44334/field-trip-with-curtis-stone	Field Trip with Curtis Stone	Documentary	English	['Food', 'Travel']	Running	30.0	30.0	2019-10-07	nan	https://fieldtripwithcurtisstone.com/	21.0	nan	<p>In <b>Field Trip with Curtis Stone</b>, chef Curtis Stone embarks on a global culinary journey to explore the spirit and passion of the destinations which inform the menu at Maude, his Michelin-starred restaurant in Beverly Hills. Curtis and friends travel to Australia, Italy, Spain and California, hunting pheasants, herding cattle and diving for pearls as they track the delicacies Curtis serves in his restaurant to their source.</p>	1.629661e+09	https://api.tvmaze.com/episodes/1996798
53	1984186	https://www.tvmaze.com/episodes/1984186/ufc-fight-night-2020-12-05-ufc-on-espn-19-hermansson-vs-vettori	UFC on ESPN 19: Hermansson vs. Vettori	2020.0	29.0	regular	2020-12-05	22:00	2020-12-06T03:00:00+00:00	293.0	{'medium': 'https://static.tvmaze.com/uploads/images/medium_landscape/288/721043.jpg', 'original': 'https://static.tvmaze.com/uploads/images/original_untouched/288/721043.jpg'}	nan	1596	https://www.tvmaze.com/shows/1596/ufc-fight-night	UFC Fight Night	Sports	English	[]	Running	120.0	190.0	2005-08-06	nan	http://www.ufc.com/	93.0	nan	<p><b>UFC Fight Night</b> is a part of the Ultimate Fighting Championship (UFC) which is the largest mixed martial arts promotion company in the world featuring most of the top-ranked fighters in the sport. Based in the United States, the UFC produces events worldwide. The organization showcases nine weight divisions and abides by the Unified Rules of Mixed Martial Arts. The UFC has held over 300 events to date. Dana White serves as the president of the UFC while brothers Frank and Lorenzo Fertitta control the UFC's parent company, Zuffa, LLC. The first UFC event was held on November 12, 1993 at the McNichols Sports Arena in Denver, Colorado. The purpose of the early UFC competitions was to identify the most effective martial art in a real fight between competitors of different fighting disciplines, including boxing, Brazilian jiu-jitsu, Sambo, wrestling, Muay Thai, karate, judo, and other styles. In subsequent competitions, fighters began adopting effective techniques from more than one discipline, which indirectly helped create an entirely separate style of fighting known as present-day mixed martial arts.</p>	1.651762e+09	https://api.tvmaze.com/episodes/2092729

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